set_metadata

code_loader.leap_binder.set_ground_truth

The leap_binder.set_metadata binding function points to Metadata Function. In addition, it defines the metadata_type and name for reference.
code_loader.leap_binder.set_metadata(
    function=MetadataSectionCallableInterface,
    metadata_type=DatasetMetadataType,
    name=str
)
Args
Text
function
(MetadataSectionCallableInterface) This parameter points to the Metadata Function mentioned above.
metadata_type
(DatasetMetadataType) This property helps visualize the metadata data.
For a float ground truth, use DatasetMetadataType.float 
For a string ground truth, use DatasetMetadataType.string
For a int ground truth, use DatasetMetadataType.int
For a boolean ground truth, use DatasetMetadataType.boolean
name
(str) with the given name of the input, e.g. image.
Examples
Basic Usage
from code_loader import leap_binder
from code_loader.contract.datasetclasses import PreprocessResponse
​
...
def metadata_label(idx: int, subset: Union[PreprocessResponse, list]) -> str:
    return subset.data.iloc[idx]['label']
​
leap_binder.set_metadata(
    function=metadata_label,
    metadata_type=DatasetMetadataType.str, 
    name='label'
)
Usage within the full script can be found at Dataset Script.
Guides
Full examples can be found at the Dataset Integration section of the following guides:
​MNIST Guide​
​IMDB Guide​

Args	Text
`function`	(MetadataSectionCallableInterface) This parameter points to the Metadata Function mentioned above.
`metadata_type`	(*DatasetMetadataType) This property helps visualize the metadata* data. For a float ground truth, use `DatasetMetadataType.float` For a string ground truth, use `DatasetMetadataType.string` For a int ground truth, use `DatasetMetadataType.int` For a boolean ground truth, use `DatasetMetadataType.boolean`
`name`	(str) with the given name of the input, e.g. image.

set_ground_truth

add_prediction

Last modified 8mo ago